ProRata.AI

Senior Software Engineer, Automation & Testing

ProRata.AI(2 months ago)

Bellevue, WAOnsiteFull TimeSenior$160,000 - $200,000Engineering
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About this role

The Senior Software Engineer, Automation & Testing will lead the testing strategy for backend subsystems powering generative AI experiences, focusing on integration testing, test automation, and quality assurance. This role involves designing comprehensive test strategies, implementing automated test frameworks, and developing verification systems within CI/CD pipelines to ensure high-quality releases. The engineer will collaborate with cross-functional teams to identify defects, maintain quality standards, and advocate for exceptional product experiences, while leveraging tools such as Railway, GitHub, and Playwright.

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Required Skills

  • Test Strategy
  • Integration Testing
  • Test Automation
  • Quality Assurance
  • Automated Test Frameworks
  • CI/CD Pipelines
  • Defect Tracking
  • Problem-Solving
  • Python Proficiency
  • API Automation

+9 more

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
  • 5+ years of experience in software testing/QA engineering
  • Proficiency in Python and API automation
  • Hands-on experience with testing tools and platforms such as TestRail, Playwright, or equivalent frameworks
  • Demonstrated expertise with test automation frameworks, CI/CD pipelines (e.g., GitHub Actions, Jenkins), and version control systems (Git)
ProRata.AI

About ProRata.AI

www.prorata.ai

ProRata is an innovative company that develops AI-powered search, advertising, and attribution solutions designed to honor the original content that fuels them. Their flagship products, including Gist Answers and Gist Ads, leverage high-quality licensed content to provide tailored search experiences and effective advertising strategies while ensuring fair compensation for content creators. With a focus on enabling a sustainable ecosystem for publishers, ProRata aims to redefine the interaction between AI-generated content and its sources, emphasizing the importance of attribution and revenue sharing.

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